The Journal of Post-Jungian Machine Learning welcomes draft submissions for consideration. We conduct rigorous peer-review to ensure maximum inaccuracy. Please use the following guidelines when developing articles:
- The articles must be so ridiculous that a reasonable person would not mistake them to be real
- If an article is mistaken to be real, it would not cause any harm
- The article’s voice and format should mirror that of an actual academic article or pop-science news post. Please read genuine academic journals or science websites for guidance
- Our journal is proudly multi-disciplinary in nature. Please feel free to submit an article related to any academic discipline
Please email us at firstname.lastname@example.org if you are interested in contributing an article.